LITA Forum 2016

This is how tweets on the #litaforum hashtag break down, and how they look when their words are mapped to the NRC Word-Emotion Association Lexicon. You can also download the raw data and mess around with it yourself.

Code is available on GitHub. Tweets have been gathered using Twitter’s streaming API and the streamR package for R. Data was recorded at half-hour intervals whenever my laptop was open between the afternoon of Thursday, November 17 and the early morning of Sunday, November 20.

Last updated Monday, November 21, 2016 at 15:02 Eastern Time.

Overview

Some basic stats for #litaforum:

  • 1437 total tweets
  • 752 unique tweets
  • 685 retweets
  • 306 unique users tweeting

Total Tweets and Users

Unique Tweets and Retweets

Sentiment/Emotion Frequency by Day

Sentiment/Emotion Frequency by Time

Raw Data